[1]} developed a ml model using data from over 15000 dft calculations to predict the thermodynamic stability of arbitrary compounds one million times faster than when just using dft and without knowledge of crystal structure. The model was used to scan 1.6 million candidate compositions and predict 4500 new stable materials. Combining a physically motivated heuristic with a ml model and using it on a large database of quantum mechanical calculations provides a new approach for extremely rapid computational materials screening.
